Clinical advantages of quantitative electroencephalogram (QEEG) application in general neurology practice

2011 ◽  
Vol 500 ◽  
pp. e32 ◽  
Author(s):  
J. Lucas Koberda
Stroke ◽  
2016 ◽  
Vol 47 (suppl_1) ◽  
Author(s):  
Fred Cohen ◽  
Jeffrey M Katz ◽  
Jackie McCarthy ◽  
Ignacio Lopez ◽  
Paul Wright

Introduction: Patient dissatisfaction and medication non-compliance correlate with patient misunderstanding of their medications and care plan. We aimed to assess the degree of these gaps and their associations in hospitalized stroke patients. Methods: A 5-question survey was administered to patients hospitalized on the neuroscience ward of a comprehensive stroke center. Patient understanding of their condition leading to admission, care plan, medications, primary attending physician, and follow-up plan was assessed. If the patient was unable to communicate, then their health care representative was interviewed. Results: A total of 146 patients (55 stroke and 91 general neurology and neurosurgery (non-stroke) patients) or their representatives were interviewed. Stroke patients were less likely to properly identify their primary attending physician (33/55 (60.0%) stroke patients versus 35/91 (38.5%) non-stroke patients; p=0.011). Inability to identify the attending physician was associated with lack of medication and care plan knowledge and was more common in stroke patients, (23/33 (69.7%) stroke patients versus 14/35 (40.0%) non-stroke patients; p=0.014). Conclusion: Despite sharing a common pool of providers, the inability to identify the primary attending physician was significantly more common in stroke patients and was associated with patient knowledge deficits regarding their medication regimen and care plan. This correlation was significantly higher in stroke patients and suggests that stroke patients may require different, extra or more robust communication and education than the general neurology and neurosurgery population. Additionally, emphasis on attending physician identification may improve patient satisfaction and medication compliance.


2019 ◽  
Vol 47 (10) ◽  
pp. 1416-1423 ◽  
Author(s):  
Mohammad M. Ghassemi ◽  
Edilberto Amorim ◽  
Tuka Alhanai ◽  
Jong W. Lee ◽  
Susan T. Herman ◽  
...  

2012 ◽  
Vol 02 (02) ◽  
pp. 98-102
Author(s):  
Guangsheng Wang ◽  
Yeting Zhou ◽  
Xiaodong Chen ◽  
Hongjian Wang ◽  
Tonghui Yang ◽  
...  

2021 ◽  
Vol 7 (2) ◽  
pp. 108-120
Author(s):  
Gregory Xavier ◽  
Anselm Su Ting ◽  
Norsiah Fauzan

Quantitative electroencephalogram enables mathematical analysis of neurological recordings while conventional electroencephalogram lacks the mathematical output; hence, its usage is limited to neurological experts. This study was to determine if quantified conventional electroencephalogram recordings were compatible and comparable with quantitative electroencephalogram recordings. A group of post-call doctors was recruited and subjected to an EEG recording using a conventional electroencephalogram followed by a quantitative electroencephalogram device. The patterns and quantified recording results were compared. A comparative analysis of the two recording sets did not find differences in the recording patterns and statistical analysis. The findings promoted the use of a readily available conventional electroencephalogram in quantitative brain wave studies and have cleared potential compatibility bias towards data merging.


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